Waste Management - Weighing-Machine Automation

  • Zdenek SlaninaEmail author
  • Rostislav Pokorny
  • Jan Dedek
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 554)


Nowadays the environment is polluted in different ways. One of these is the wrong disposal. A considerably ineffective method of disposal of waste can be the storage at a designated site of so-called landfills that have a significant adverse effect on the environment. Most of the larger cities suffer from these aspects of inefficient waste management, which is why the landfill is mostly on the periphery. Due to rapid population growth, this situation is only getting worse. A possible solution is reuse of waste by so-called recycling to a utility product. Effective and efficient recycling is required for many people. Which individual materials will be separated and further processed into a utility product. A possible solution is to automate these tasks using current information technologies.


Waste management Industry 4.0 Latex Linux Embedded systems 



This work was supported by the project SP2018/160, “Development of algorithms and systems for control, measurement and safety applications IV” of Student Grant System, VSB-TU Ostrava.


  1. 1.
    Mikolajek, M., Otevrel, V., Koziorek, J., Slanina, Z.: Data trends in industry automation using.NET framework. IFAC-PapersOnLine 28(4), 418–423 (2015)CrossRefGoogle Scholar
  2. 2.
    Bradac, Z., Fiedler, P., Cach, P., Vrba, R.: Wireless communication in automation. In: Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, vol. 2, pp. 659–662 (2003). Art. no. 301871Google Scholar
  3. 3.
    Zezulka, F., Bradac, Z., Fiedler, P., Sir, M.: Trends in automation - investigation in network control systems and sensor networks. IFAC Proc. Vol. (IFAC-PapersOnline) 10(PART 1), 109–113 (2010)CrossRefGoogle Scholar
  4. 4.
    Havlikova, M., Sediva, S., Bradac, Z., Jirgl, M.: A man as the regulator in man-machine systems. Adv. Electr. Electron. Eng. 12(5), 469–475 (2014)Google Scholar
  5. 5.
    Arm, J., Bradac, Z., Kaczmarczyk, V.: Real-time capabilities of Linux RTAI. IFAC-PapersOnLine 49(25), 401–406 (2016)CrossRefGoogle Scholar
  6. 6.
    Misik, S., Bradac, Z., Arm, J., Stastny, L.: Embedded telemetry system with data presentation using HTTP and data logging. IFAC-PapersOnLine 28(4), 101–106 (2015)CrossRefGoogle Scholar
  7. 7.
    Sir, M., Bradac, Z., Kaczmarczyk, V.: Ontology and automation technique. In: Recent Researches in Communications and IT - Proceedings of the 15th WSEAS International Conference on Communications, Part of the 15th WSEAS CSCC Multiconference, Proceedings of the 5th International Conference on CIT 2011, pp. 171–174 (2011)Google Scholar
  8. 8.
    Ozana, S., Pies, M., Hajovsky, R., Koziorek, J., Horacek, O.: Application of PIL approach for automated transportation center. In: Ozana, S., Pies, M., Hajovsky, R., Koziorek, J., Horacek, O. (eds.) LNCS (LNAI and LNBI), vol. 8838, pp. 501–513 (2014)Google Scholar
  9. 9.
    Pies, M., Hajovsky, R., Ozana, S., Haska, J.: Wireless sensory network based on IQRF technology. In: 2014 the 4th International Workshop on Computer Science and Engineering-Winter, WCSE 2014 (2014)Google Scholar
  10. 10.
    Pies, M., Hajovsky, R.: Using the IQRF technology for the internet of things: case studies. Lecture Notes in Electrical Engineering. vol. 425, pp. 274–283 (2018)Google Scholar
  11. 11.
    Jurenoks, A., Jokic, D.: Sensor network information flow control method with static coordinator within internet of things in smart house environment. Proc. Comput. Sci. 104, 385–392 (2016)CrossRefGoogle Scholar
  12. 12.
    Prauzek, M., Kromer, P., Rodway, J., Musilek, P.: Differential evolution of fuzzy controller for environmentally-powered wireless sensors. Appl. Soft Comput. J. 48, 193–206 (2016)CrossRefGoogle Scholar
  13. 13.
    Martinek, R., Kahankova, R., Bilik, P., Nedoma, J., Fajkus, M., Blaha, P.: Speech quality assessment based on virtual instrumentation. In: Proceedings of the 10th International Conference on Computer Modeling and Simulation, pp. 49–53. ACM (2018)Google Scholar
  14. 14.
    Martinek, R., Sincl, A., Vanus, J., Kelnar, M., Bilik, P., Machacek, Z., Zidek, J.: Modelling of fetal hypoxic conditions based on virtual instrumentation. In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, pp. 249–259. Springer, Cham (2016)Google Scholar
  15. 15.
    Martinek, R., Koudelka, P., Latal, J., Vitasek, J., Vanus, J., Wen, H., Nazeran, H.: Modelling of wireless fading channels with RF impairments using virtual instruments. In: 2016 IEEE 17th Annual Wireless and Microwave Technology Conference (WAMICON), pp. 1–6. IEEE (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering and Computer ScienceVSB-TU OstravaOstravaCzech Republic

Personalised recommendations